Demographics details for Scott city, MO vs Rowe, VA
Population Overview
Compare main population characteristics in Scott city, MO vs Rowe, VA.
| Data | Scott city | Rowe |
|---|---|---|
| Population | 4,350 | 50 |
| Median Age | 40.1 years | 35.0 years |
| Median Income | $57,771 | $40,000 |
| Married Families | 43.0% | 20.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 3.2 | 4.0 |
Population Comparison: Scott city vs Rowe
- In Scott city, the population is higher at 4,350, compared to 50 in Rowe.
- Residents in Scott city have a higher median age of 40.1 years compared to 35.0 years in Rowe.
- Scott city has a higher median income of $57,771 compared to $40,000 in Rowe.
- A higher percentage of married families is found in Scott city at 43.0% compared to 20.0% in Rowe.
- The poverty level is higher in Rowe at 15%, compared to 9% in Scott city.
- Rowe has a higher unemployment rate at 4.0% compared to 3.2% in Scott city.
Demographics
Demographics Scott city vs Rowe provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Rowe |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 92 | 95 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 1 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Scott city vs Rowe
- The percentage of Black residents is the same in both Scott city and Rowe at 0%.
- The percentage of White residents is higher in Rowe at 95% compared to 92% in Scott city.
- In Rowe, the Asian population stands at 2%, greater than 0% in Scott city.
- The Hispanic community is larger in Scott city at 3% compared to 1% in Rowe.
- More residents identify as two or more races in Scott city at 5% compared to 2% in Rowe.
- The percentage of American Indian residents is the same in both Scott city and Rowe at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Rowe |
|---|---|---|
| Mental Health Not Good | 20.9% | Data is updating% |
| Physical Health Not Good | 15.5% | Data is updating% |
| Depression | 27.3% | Data is updating% |
| Smoking | 26.0% | Data is updating% |
| Binge Drinking | 17.0% | Data is updating% |
| Obesity | 37.0% | Data is updating% |
| Disability Percentage | 16.0% | Data is updating% |
Health Statistics Comparison: Scott city vs Rowe
- More residents in Scott city report poor mental health at 20.9% compared to 0.0% in Rowe.
- Depression is more prevalent in Scott city at 27.3% compared to 0.0% in Rowe.
- Smoking is more prevalent in Scott city at 26.0% compared to 0.0% in Rowe.
- Binge drinking is more common in Scott city at 17.0% compared to 0.0% in Rowe.
- Obesity rates are higher in Scott city at 37.0% compared to 0.0% in Rowe.
- Disability percentages are higher in Scott city at 16.0% compared to 0.0% in Rowe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Rowe |
|---|---|---|
| No Schooling | 0.4% (18) | 0.0% (Data is updating) |
| High School Diploma | 20.4% (886) | 0.0% (Data is updating) |
| Less than High School | 23.8% (1,035) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.9% (474) | 0.0% (Data is updating) |
Education Levels Comparison: Scott city vs Rowe
- A higher percentage of residents in Scott city have no formal schooling at 0.4% compared to 0.0% in Rowe.
- A higher percentage of residents in Scott city hold a high school diploma at 20.4% compared to 0.0% in Rowe.
- More residents in Scott city have less than a high school education at 23.8% compared to 0.0% in Rowe.
- A higher percentage of residents in Scott city hold a bachelor's degree or higher at 10.9% compared to 0.0% in Rowe.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.